{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.loadtxt(\"profile.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11bc2b8b0>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data[2048:2048+1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "214227862d68522fd9c59f9b3b48f173b25d614a3b72d915000958a455df3092"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
